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Open access Aug 2026

Green finance and joint urban performance in pollution control and carbon mitigation: evidence from the Yangtze River Economic Belt, China

Pollution control and carbon mitigation often involve the same energy inputs and production processes, yet the role of finance in shaping their combined urban outcomes remains insufficiently understood. Using panel data for 110 Chinese cities in the Yangtze River Economic Belt (YREB) from 2010 to 2023, this study examines the relationship between green finance (GF) and joint pollution and carbon reduction performance (JPCRP), while JPCRP is measured using an outcome-based composite index covering carbon emissions, energy use, and conventional pollution. The empirical analysis combines city and year fixed effects with two stage least squares, indirect path, interaction, and panel threshold models. The results show that GF is positively associated with JPCRP, while exploratory subgroup estimates vary in magnitude across basin locations and development levels. Specifically, the fiscal expenditure analysis identifies a countervailing pathway in which GF is positively associated with fiscal environmental expenditure (FEE), while FEE is negatively associated with JPCRP after controlling for GF and the other covariates. Green technological innovation (GTI) conditions the relationship between GF and JPCRP, with the negative GF × GTI interaction indicating that the marginal association between GF and JPCRP becomes weaker as GTI increases. The estimated threshold for urban spatial development efficiency (USDE) is 0.66, above which the GF coefficient remains positive but declines from 0.1412 to 0.0845. These findings indicate that the environmental contribution of GF depends not only on the supply of green capital but also on fiscal allocation, technological capacity, and urban spatial conditions.

Zu-Jun Yao, Houtian Tang, Ke Liu · 0 citations
Open access Jul 2026

A Study on the Impact of Digital Transformation on Carbon Emissions Reduction Performance in Export-Oriented Manufacturing Enterprises: An Empirical Analysis Based on Listed Company Data

Driven by the ‘Dual Carbon’ goals, reducing carbon emissions has become a consensus amongst enterprises. As an emerging economic model, the digital economy—with its characteristics of efficiency, intelligence and innovation—is emerging as a key driver of carbon emission reductions. Export-oriented manufacturing enterprises, as key producers facilitating the integration of the Chinese economy into global value chains, are crucial to the realisation of the ‘Dual Carbon’ goals. Given that China’s digital transformation began in 2011 and the availability of relevant data, this study utilises panel data from 1,093 listed export-oriented manufacturing enterprises in China between 2012 and 2021 to examine the impact of digital transformation on their carbon emission reduction performance. The findings reveal that: (1) export-oriented manufacturing enterprises have enhanced their carbon emission reduction performance through digital transformation; (2) Green technological innovation and factor allocation efficiency act as mediating variables, whilst environmental regulations can dampen the positive impact of digital transformation on carbon emission reduction performance; (3) The driving effect of digital transformation on the carbon emission reduction performance of export-oriented manufacturing enterprises varies across regions. Based on these findings, targeted recommendations are proposed from both the government and enterprise perspectives to better facilitate enterprises’ green transformation and green innovation, thereby further enhancing their carbon emission reduction performance.

Ying Sun, Hang Xiao, Ke Liu et al. · 0 citations